code: def test_transformation_to_gpyopt_domain_with_multiple_parameters(
      parameters,
  ):
      domain = GPyOpt._initialize_domain(parameters)
  
      assert {
          "name": "dropout",
          "type": "continuous",
          "domain": (0.0, 0.5),
      } == domain[0]
      assert {
          "name": "lr",
          "type": "continuous",
          "domain": (-7, -1),
      } == domain[1]
      assert domain[2]["name"] == "activation"
      assert domain[2]["type"] == "categorical"
      assert numpy.array_equal(
          domain[2]["domain"], numpy.array([0, 1, 2])
      )
      assert {
          "name": "num_hidden",
          "type": "discrete",
          "domain": tuple(range(100, 301)),
      } == domain[3]
  
imports: import sherpa
  import pandas
  import pytest
  import numpy
  import collections
  import GPyOpt
  from sherpa.algorithms.bayesian_optimization import GPyOpt
  from sherpa.algorithms import Repeat
label_desc: Use image node_id 11 for calling a global function with example usage: test_transformation_to_gpyopt_domain_with_multiple_parameters(parameters) without return types